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Kunnskapsbibliotek

Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.

Quant Q&A
20,364 dokumenter
SuperMind
12,226 dokumenter
OKX Learn
8,431 dokumenter
Strategy library
7,910 dokumenter
MQL5 code base
7,090 dokumenter
BigQuant
3,481 dokumenter
Bitget Academy
3,298 dokumenter
MQL5 articles
3,012 dokumenter
TradingView scripts
1,976 dokumenter
ProRealCode
1,507 dokumenter
Deribit Insights
1,232 dokumenter
Machine Learning for Trading
1,124 dokumenter
arXiv papers
1,033 dokumenter
Amberdata research
766 dokumenter
FMZ forum
682 dokumenter
FMZ digest
662 dokumenter
vn.py community
560 dokumenter
QuantInsti blog
511 dokumenter
Galaxy Research
340 dokumenter
QuantStart
246 dokumenter
Stratmill research code
219 dokumenter
Robot Wealth
195 dokumenter
NautilusTrader
191 dokumenter
Hummingbot docs
181 dokumenter
Paradigm research
175 dokumenter
Lumibot
164 dokumenter
Kraken Learn
163 dokumenter
Bibliotek for kvantkurs
157 dokumenter
OctoBot
152 dokumenter
Cryptohopper blog
144 dokumenter
Systematic trading blog (Rob Carver)
132 dokumenter
Qlib
116 dokumenter
TqSdk
86 dokumenter
Quantpedia
86 dokumenter
Hyperliquid docs
79 dokumenter
Freqtrade
68 dokumenter
Hudson & Thames
62 dokumenter
Awesome Systematic Trading
61 dokumenter
backtrader
54 dokumenter
vn.py
50 dokumenter
Binance API docs
45 dokumenter
Quantopian-forelesninger
45 dokumenter
FMZ guides
38 dokumenter
pysystemtrade
34 dokumenter
Freqtrade docs
32 dokumenter
quant-trading
31 dokumenter
FinRL
28 dokumenter
Zipline
22 dokumenter
FMZ live strategies
21 dokumenter
Jesse
17 dokumenter
pyfolio
16 dokumenter
WonderTrader
14 dokumenter
Alphalens
14 dokumenter
backtesting.py
11 dokumenter
Technical Analysis
9 dokumenter
QTPyLib
8 dokumenter
Lumibot strategies
7 dokumenter
QuantRocket
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

20,364 dokumenter

Quant Q&A

The document explains why a bank can find low-credit-risk lending or securities consuming under a leverage ratio. Traditional risk-based capital rules assign different capital charges according to credit risk, while the leverage ratio described here compares…

RisikostyringRentepapirer
Quant Q&A

The document presents a method for analyzing whether a stochastic process is a martingale: apply Itô’s formula to obtain its differential, then inspect the coefficient of the time increment, or drift. A zero drift makes the process a local martingale under…

StatistikkPrising av derivater
Quant Q&A

The document distinguishes running basis points from upfront basis points in bond risk and carry calculations. Upfront basis points translate a running spread into a price-risk amount using DV01, the dollar value of a one-basis-point yield move; the…

RentepapirerCarry-avkastningRisikostyringPosisjonsstørrelse
Quant Q&A

The document addresses how to identify a particular financial index when providers publish many strategy, currency, or other variants under similar names. Its example is a family of hedge fund indexes whose labels differ by strategy and currency, making…

Flere aktivaklasserMarkedsmikrostruktur
Quant Q&A

The document explains how minimum-variance and minimum-tracking-error portfolio problems relate to quadratic programming and second-order cone programming. It clarifies that expressing a continuous convex risk constraint as a cone constraint does not remove…

PorteføljekonstruksjonRisikostyringFaktorinvesteringStatistikk
Quant Q&A

The document asks how the residual income valuation model should change when the cost of equity varies over time. It begins from the constant-rate formulation, where discounting and the residual income adjustment use the same rate, and considers why the…

AksjerStatistikk
Quant Q&A

The document compares error assumptions in simple ARIMA models with those used in ARIMA-GARCH estimation. It explains that some ARIMA or ARMA models can be fitted with ordinary or iterative least squares, while maximum likelihood estimation is often used…

StatistikkVolatilitet
Quant Q&A

The document explains how a prospective hedge fund employer or investor may evaluate a person’s claimed Sharpe ratio. The usual evidence is a return time series, preferably from live trading and at daily frequency. Some reviewers may accept a combination of…

RisikostyringStatistikk
Quant Q&A

The document poses an optimal stopping problem for a firm's profit modeled as a Brownian process with drift and volatility. The value is expressed as accumulated discounted profit up to a stopping time, then rearranged into a term involving an expected…

StatistikkMaskinlæringHistorisk testing
Quant Q&A

The document explains how to test whether a signal predicts returns by sorting securities into portfolios according to the signal, then comparing high-signal and low-signal groups. A spread portfolio is formed by going long the high group and short the low…

AksjerPorteføljekonstruksjonFaktorinvesteringHistorisk testing
Quant Q&A

The document considers whether the yield difference between on-the-run and off-the-run bonds of similar maturity could support a mean-reversion trade. It explains why the spread may reflect persistent differences in liquidity and investor demand: new issues…

RentepapirerTilbakevending mot gjennomsnittetRisikostyringMarkedsmikrostruktur
Quant Q&A

The document shows a QuantLib setup for pricing European call options with the analytic Black–Scholes engine. It compares outputs for several strikes with an online calculator and asks whether QuantLib supports Black ’76. The response identifies two inputs…

OpsjonerPrising av derivater
Quant Q&A

The document explains why cumulative delta readings in the E-mini S&P 500 futures contract (ES) can differ sharply from those in its micro contract (MES). Cumulative delta records executed buying versus selling volume in a particular contract. Although the…

FuturesMarkedsmikrostrukturOrdreutførelse
Quant Q&A

The document asks how to assess correlations between one stock’s returns and another stock’s returns shifted across different lags. It distinguishes this cross-series question from the usual use of the Ljung–Box test for autocorrelation within one series.…

AksjerStatistikk
Quant Q&A

The document describes a static replication result for a European payoff using calls and puts across a range of strikes. For a twice continuously differentiable payoff function, the second derivative determines the weights applied to vanilla options. The…

OpsjonerPrising av derivater
Quant Q&A

The document derives bounds on the derivative of a call price with respect to strike. It compares calls with nearby strikes and uses the fact that, at maturity, the difference between their payoffs is bounded by zero and the negative of the strike gap.…

OpsjonerPrising av derivaterRentepapirer
Quant Q&A

The document asks how to price equity quanto options with a local-stochastic volatility model, building on a proposed Heston approach that adjusts equity and variance dynamics for quanto effects. The supplied answer recommends modeling both the equity and…

OpsjonerPrising av derivaterVolatilitetValutahandel
Quant Q&A

The document asks how the long-run mean, often denoted theta, in an Ornstein–Uhlenbeck model should relate to the initial mispricing of a mean-reverting pair spread. It refers to a paper on optimal profit-taking and stop-loss boundaries, which describes…

ParhandelTilbakevending mot gjennomsnittetStatistikk
Quant Q&A

The document explains how forward rates relate to the dates in an interest rate swap's floating leg. It distinguishes payment dates, accrual dates, reset or fixing dates, and rate valuation dates. The rate being estimated is associated with the period over…

RentepapirerPrising av derivater
Quant Q&A

The document asks how to use estimated betas and risk premia from a Fama–MacBeth regression to predict returns. Its answer draws a distinction between testing an asset pricing model and building a forecasting model: Fama–MacBeth regression is presented as a…

StatistikkFaktorinvestering
Quant Q&A

The document compares Monte Carlo Value at Risk with a parametric approach. Monte Carlo methods can be useful when a portfolio contains nonlinear or path-dependent positions, such as options, mortgage-backed securities, or convertible bonds. The method…

RisikostyringOpsjonerPrising av derivaterStatistikk
Quant Q&A

The document considers how to size three long and short currency positions to target a specified annual portfolio volatility while allocating risk equally. The proposed procedure first scales each currency position separately so that each standalone position…

ValutahandelVolatilitetPosisjonsstørrelsePorteføljekonstruksjon
Quant Q&A

The document describes a learner's attempt to estimate a GARCH(1,1) volatility model by hand after fitting an AR(1) model to a return or time series. The AR(1) residuals supply the lagged squared innovations used in the conditional variance equation, while…

StatistikkVolatilitet
Quant Q&A

The document asks how to price American options in QuantLib when the contract is specified by a time to maturity rather than fixed calendar dates. Its suggested approach is to choose a start date, such as today, and add a period representing the duration in…

OpsjonerPrising av derivater